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Know what your users want. Continuously.

AskEngine interviews your users and turns what they say into beliefs you can query, each tied to its interview.

Fix contradicted

Guided setup shipped last month — the last three admins interviewed still pulled in an engineer.

Setup stalls without an engineer·SIG-7

Contradiction

Admins describe alerts as the reason they bought — the people receiving them mute them within a week.

Admin onboarding × End-user check-ins

Recommendation

Schedule reports straight to Slack. Teams screenshot dashboards there every Monday because half the company never logs in.

Dashboards get shared as screenshots·SIG-12

You build. The interviews run.

00:00

Hi Sam. How does your team share numbers from the dashboard?

Honestly? Screenshots. I paste them into Slack every Monday.

What makes screenshots easier?

The dashboard needs a login and half the team never looks. Slack they actually read.

If a report posted itself to Slack every Monday, would you still screenshot?

Probably not. It's the most boring part of my week.

When did you last share a link instead?

One interview is an anecdote. Twenty is a signal.

Signal	Trajectory	Evidence	Status
Dashboards get shared as screenshots#SIG-12	Rising	JRT+5	Actionable
Numbers get rechecked in spreadsheets#SIG-9	Rising	MKB+2	Established
Setup stalls without an engineer#SIG-7	Stable	DNH+6	Established
Alerts get muted in week one#SIG-4	Declining	GSV+9	Validated
Nobody trusts the search bar#SIG-15	New	HN	Emerging

Recommendations show their receipts.

High Confidence

Let teams schedule a report straight to Slack

Teams screenshot dashboards into Slack every week because half the company never logs in. Seven of eight said they’d stop if reports posted themselves.

Signal: Dashboards get shared as screenshots#SIG-12
Evidence: 7 Agreed \ 1 Disagreed

Dana

“I paste the same three charts into Slack every Monday. That’s the whole workflow.”

One belief layer. Use it anywhere.

Interviews

AAlbert

Analyzing...

DDana

Analyzed

PPriya

Analyzed

AAlex

Analyzed

11m

MMarcus

Analyzed

JJules

Analyzed

Workspace

Signals, recommendations, and gaps land in your morning briefing.

AmpZedClaude CodeCursorVS Code

AntigravityOpenCodeCodexWindsurfCopilot CLI

Claude DesktopRaycastGemini CLIKimi CLI

MCP

Your agents query the belief layer mid-task, from any MCP client.

POST

/v1/ask

GET

/v1/signals

GET

/v1/evidence

POST

/v1/evidence/search

GET

/v1/recommendations

GET

/v1/studies

POST

/v1/action-cards/:id/resolve

API

The same beliefs over REST, pulled into your own product.

Know what your users want.

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